BRTCO: A Novel Boundary Recognition and Tracking Algorithm for Continuous Objects in Wireless Sensor Networks

Continuous objects monitoring and tracking, which aims to detect the invasion of unauthorized materials of interest, is one of the most prominent applications in wireless sensor networks. In this paper, we propose a novel boundary recognition and tracking algorithm for continuous objects (BRTCO) to ensure the efficiency of objects contour extraction. On precondition of assuring the tracking accuracy, a collaborative filtering scheme is proposed to minimize the number of boundary nodes. Also, in the phase of data transmission, we take the advantage of clustering to ensure energy efficiency. A report node selection mechanism is designed based on the competition of cluster heads. Simulation results demonstrate that BRTCO can significantly reduce the total energy consumption, the number of boundary nodes, and the number of report nodes.

[1]  Guangjie Han,et al.  TGM-COT: energy-efficient continuous object tracking scheme with two-layer grid model in wireless sensor networks , 2016, Personal and Ubiquitous Computing.

[2]  Sang-Ha Kim,et al.  Energy-efficient predictive tracking for continuous objects in wireless sensor networks , 2010, 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[3]  Abdul Hanan Abdullah,et al.  Delaunay Triangulation as a New Coverage Measurement Method in Wireless Sensor Network , 2011, Sensors.

[4]  Mohsen Guizani,et al.  A Survey on Mobile Anchor Node Assisted Localization in Wireless Sensor Networks , 2016, IEEE Communications Surveys & Tutorials.

[5]  Huijun Gao,et al.  Distributed Synchronization in Networks of Agent Systems With Nonlinearities and Random Switchings , 2013, IEEE Transactions on Cybernetics.

[6]  Zhang Yueqin,et al.  Based on Cluster Cover Algorithm in Coal Mine Gas Forecast Application , 2010, 2010 International Conference on Intelligent Computation Technology and Automation.

[7]  Jung-Hwan Kim,et al.  DEMOCO: Energy-Efficient Detection and Monitoring for Continuous Objects in Wireless Sensor Networks , 2008, IEICE Trans. Commun..

[8]  Bing-Hong Liu,et al.  Constructing a Message-Pruning Tree with Minimum Cost for Tracking Moving Objects in Wireless Sensor Networks Is NP-Complete and an Enhanced Data Aggregation Structure , 2008, IEEE Transactions on Computers.

[9]  Mohamed F. Younis,et al.  Topology management techniques for tolerating node failures in wireless sensor networks: A survey , 2014, Comput. Networks.

[10]  Jie Gao,et al.  Boundary recognition in sensor networks by topological methods , 2006, MobiCom '06.

[11]  Hossein Pedram,et al.  HCMTT: Hybrid clustering for multi-target tracking in Wireless Sensor Networks , 2012, 2012 IEEE International Conference on Pervasive Computing and Communications Workshops.

[12]  Sang-Ha Kim,et al.  Reliable continuous object tracking with cost effectiveness in wireless sensor networks , 2015, 2015 Seventh International Conference on Ubiquitous and Future Networks.

[13]  Zhikui Chen,et al.  D-TDMA: An Approach of Dynamic TDMA Scheduling for Target Tracking in Wireless Sensor Networks , 2010, 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing.

[14]  Xu Ji,et al.  Energy-Efficiency Continuous Object Tracking via Automatically Adjusting Sensing Range in Wireless Sensor Network , 2009, 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology.

[15]  Hongyi Wu,et al.  A distributed delaunay triangulation algorithm based on centroidal voronoi tessellation for wireless sensor networks , 2013, MobiHoc '13.

[16]  Wang-Rong Chang,et al.  CODA: A Continuous Object Detection and Tracking Algorithm for Wireless Ad Hoc Sensor Networks , 2008, 2008 5th IEEE Consumer Communications and Networking Conference.

[17]  Sang-Ha Kim,et al.  Reliable and flexible detection of large-scale phenomena on wireless sensor networks , 2012, IEEE Communications Letters.

[18]  Guangjie Han,et al.  Analysis of Energy-Efficient Connected Target Coverage Algorithms for Industrial Wireless Sensor Networks , 2017, IEEE Transactions on Industrial Informatics.

[19]  Euisin Lee,et al.  Continuous object tracking protocol with selective wakeup based on practical boundary prediction in wireless sensor networks , 2019, Comput. Networks.

[20]  Yiying Zhang,et al.  Continuous object tracing in wireless sensor networks , 2011, 2011 International Conference on Electrical and Control Engineering.

[21]  Sang-Ha Kim,et al.  Efficient Continuous Object Tracking with Virtual Grid in Wireless Sensor Networks , 2012, 2012 IEEE 75th Vehicular Technology Conference (VTC Spring).

[22]  Guangjie Han,et al.  Cross-layer optimized routing in wireless sensor networks with duty cycle and energy harvesting , 2015, Wirel. Commun. Mob. Comput..